pytorch_template_asr_example Table

Rodion-chernomordin's workspace

Runs

datasets.train.max_text_length

datasets.val.max_text_length

text_encoder._target_

Crashed

rodion-chernomordin

1y ago

11h 37m 46s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

200

train_all

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.001

0.1

${trainer.epoch_len}

[{"_target_":"src.metrics.ArgmaxCERMetric","name":"CER_(Argmax)"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0001

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(BS)

true

saved

Finished

rodion-chernomordin

1y ago

7h 10m 33s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

train-clean-100

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.001

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"_target_":"src.metrics.BeamSearchWERMetric","name":"WER_(BS)"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0001

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(BS)

true

saved

Finished

rodion-chernomordin

1y ago

41m 23s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

200

dev-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

200

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

min val_WER_(Argmax)

true

saved

Finished

rodion-chernomordin

1y ago

48m 41s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

200

dev-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

200

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

min val_WER_(Argmax)

true

saved

Finished

rodion-chernomordin

1y ago

50m 20s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

200

dev-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

200

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

min val_WER_(Argmax)

true

saved

Finished

rodion-chernomordin

1y ago

54m 57s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

200

dev-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

200

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

min val_WER_(Argmax)

true

saved

Finished

rodion-chernomordin

1y ago

1h 32m 17s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

200

dev-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

200

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(Argmax)

true

saved

Finished

rodion-chernomordin

1y ago

6h 6m 32s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

train-clean-100

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.001

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0001

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(BS)

true

saved

Crashed

rodion-chernomordin

1y ago

3h 30m 45s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

test-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

train-clean-100

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.001

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"_target_":"src.metrics.ArgmaxWERMetric","name":"WER_(Argmax)"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0001

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(BS)

true

saved

Crashed

rodion-chernomordin

1y ago

5h 1m 31s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

test-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

train-clean-100

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.001

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"},{"name":"CER_(BS)","_target_":"src.metrics.BeamSearchCERMetric"},{"name":"WER_(BS)","_target_":"src.metrics.BeamSearchWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0001

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(BS)

true

saved

Finished

rodion-chernomordin

1y ago

8h 51m 23s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

test-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

train-clean-100

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(BS)

true

saved

Crashed

rodion-chernomordin

1y ago

5h 2m 12s

torch.utils.data.DataLoader

true

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

test-clean

src.datasets.LibrispeechDataset

${transforms.instance_transforms.train}

train-clean-100

src.datasets.LibrispeechDataset

${transforms.instance_transforms.inference}

dev-clean

src.loss.CTCLossWrapper

torch.optim.lr_scheduler.OneCycleLR

cos

${trainer.n_epochs}

0.01

0.1

${trainer.epoch_len}

[{"name":"CER_(Argmax)","_target_":"src.metrics.ArgmaxCERMetric"},{"name":"WER_(Argmax)","_target_":"src.metrics.ArgmaxWERMetric"}]

[]

src.model.DeepSpeech2

512

128

torch.optim.AdamW

0.0003

src.text_encoder.CTCTextEncoder

auto

["spectrogram","text_encoded"]

${trainer.n_epochs}

200

min val_WER_(Argmax)

true

saved

1-12

of 12